University of Washington
BS in Electrical and Computer Engineering – Machine Learning
How this program compares
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Admission Snapshot
Typical admitted student: High school diploma or equivalent with strong performance in math and science courses (calculus, physics) is required; competitive GPA (3.0+), SAT/ACT scores (optional at many institutions), and relevant AP/IB credits in STEM preferred.
About This Program
This undergraduate pathway focuses on the intersection of computing, sensors, and data science to enable large-scale machine learning applications and systems.
Career Outcomes
Start MLOps Engineer career in Engineering AI with machine learning focus
- 1. Machine Learning Engineer
- 2. Embedded AI Systems Engineer
- 3. Robotics Software Engineer
- 4. Signal Processing Specialist
What You'll Learn
- Design machine learning models for engineering data processing and prediction.
- Integrate AI algorithms into embedded hardware and real-time systems.
- Apply neural networks and deep learning to signal processing and control applications.
- Analyze and optimize intelligent systems using electrical engineering principles.
Curriculum Highlights
Core topics include signals and systems, data-driven modeling, optimization, and foundational principles of machine learning and data science.
Top Employers
Top employers include tech giants like Google, Microsoft, Amazon, and hardware firms such as Intel and NVIDIA.
Admissions
High school diploma or equivalent with strong performance in math and science courses (calculus, physics) is required; competitive GPA (3.0+), SAT/ACT scores (optional at many institutions), and relevant AP/IB credits in STEM preferred.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: Optional
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: High School Diploma
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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